MacBook Pro (16-inch Late 2019)
Geekbench AI Score
861
Single Precision Score
105
Half Precision Score
84
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | December 10 2025 05:33 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
609
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (Q)
|
100% |
330
3.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
1390
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
653
5.11 IPS |
|
|
Style Transfer (SP)
|
100% |
4002
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2549
3.28 IPS |
|
|
Style Transfer (Q)
|
96% |
2061
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
312
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
382
509.6 IPS |
|
|
Text Classification (HP)
|
100% |
417
557.2 IPS |
|
|
Text Classification (Q)
|
93% |
436
584.9 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
98% |
496
8.57 IPS |
